北京市铁路站场大气颗粒物的特征与来源分析

利用扫描电镜-X射线能谱(SEM-EDX)技术对北京市铁路站场采集的颗粒物的形貌和化学组分进行分析,并利用富集因子法及元素相关性对颗粒物中的各元素来源进行判别。研究结果表明,铁路站场所采集的主要是2μm以下的球形或椭球形富含S、Br、Zn元素的颗粒,富集因子及元素相关性分析显示,该颗粒物主要来源于铁路机车燃油排放。因此,确定颗粒物的排放源并以此进行控制,对于改善北京铁路站场周围的大气环境具有重要意义。     

蜡烛燃烧产生的亚微米颗粒物的数量排放因子

蜡烛燃烧产生的亚微米颗粒物(在10nm-500nm范围内),稳定燃烧排放的颗粒物呈单峰正态分布,而非稳定燃烧呈近似双峰正态分布.将现场测得的浓度数据通过气溶胶动力方程转化为排放因子.结果表明,蜡烛燃烧产生的颗粒物在经过一段时间历程后,粒径谱会发生较大的变化,纳米级颗粒物逐渐消失,颗粒物的粒径有所增大.蜡烛在稳定燃烧环境下产生的亚微米颗粒物的数量排放因子为4.05×1012±0.73×1012个·g-1,在非稳定燃烧下的排放因子为1.49×1012±0.32×1012个·g-1.     

不同养殖水体溶解氧与环境因子关系的比较

根据2003年7月到2004年6月间对厦门铁道公司东山牙鲆工厂化养殖车间和同安湾网箱养殖区养殖水体水环境监测的资料分析整理而得.研究结果表明:东山牙鲆养殖车间的DO、NH4-N、NO2-N均达到了二类渔业水质标准,但COD偏高,超出四类渔业水质标准.在工厂化养殖中,由于受人为的影响,DO与其他环境因子不存在线性关系.而在同安湾,NH4-N、NO2-N、DO和COD均达到了二类渔业水质标准,同时DO与COD,DO与NH4-N之间都存在较好线性关系.     

高危作业有害因素预防控制水平预警模型

针对职业卫生领域出现的急慢性职业病及突发性化学中毒等事件,本文采用预防控制水平指标体系,用因子分析法构建了单项有害因素的预警模型。在此基础上,利用加权平均法给出了多项有害因素的综合预警模型,其中,应用层次分析法确定各个有害因素的权重。高危作业有害因素预警模型的提出为高危作业有害因素防治提供了量化的科学依据。     

Leaching of styrene and other aromatic compounds in drinking water from PS bottles

Bottled water may not be safer, or healthier, than tap water. The present studies have proved that styrene and some other aromatic compounds leach continuously from polystyrene （PS） bottles used locally for packaging. Water sapmles in contact with PS were extracted by a preconcentration technique called as ＂purge and trap＂ and analysed by gas chromatograph-mass spectrometer （GC/MS）. Eleven aromatic compounds were identified in these studies. Maximum concentration of styrene in PS bottles was 29.5 μg/L. Apart from styrene, ethyl benzene, toluene and benzene were also quantified but their concentrations were much less than WHO guide line values. All other compounds were in traces. Quality of plastic and storage time were the major factor in leaching of styrene. Concentration of styrene was increased to 69.53 μg/L after one-year storage. In Styrofoam and PS cups studies, hot water was found to be contaminated with styrene and other aromatic compounds. It was observed that temperature played a major role in the leaching of styrene monomer from Styrofoam cups. Paper cups were found to be safe for hot drinks.     

Water quality characteristics along the course of the Huangpu River （China）

Huangpu River is about 114.5 km from upriver Dianfeng to downriver Wusong,near the estuary of the Yangtze River.It plays a key role in supplying water for production,life,shipment and irrigation.With the industrial development,the pollution of the Huangpu River has become serious recently.The biological oxygen demand (BOD),total nitrogen (TN),total phosphorus (TP),oil,phenol and suspended solids (SS) were lower in the upstream sites than in the downstream sites,indicating pollutants being input along its course. Water quality was the worst in the Yangpu site,near the center of Shanghai City.Dissolved oxygen (DO) content was less than 2 mg/L in the site of Yangpu in July.Among relations between thirteen characteristics,relations between BOD,DO,TN,TP,NH_4~ -N, NO_3~--N and the count of total bacteria or Escherichia coli were significant and interdependent.Inner relationships between these main characteristics in the Huangpu River were studied.High nutrient concentration led to growth of microorganisms,including E.coli. Degradation of organic matters and respiration of bacteria made oxygen concentration decreased in the water body,and DO was a key factor for nitrification-denitrification process of nitrogen.In the Yangpu site,DO was decreased to less than 3.0 mg/L with BOD higher than 7.5 mg/L in May and July.Low DO concentration will decrease nitrification rate.Nitrification need at higher DO value than other organic substrate oxidation.Consequently,river water contains low NO_3~--N values with high amounts of TN and NH_4~ -N there.This will block the self-purification of surface water,by decreasing the rate of nitrification-denitrification transformation process in the water body.     

重庆境内江河水域渔业环境特点及对船体网箱养鱼的影响

重庆境内河流属长江水系，以长江，嘉陵江，涪江等河流为骨干和主体，水域面积８．２５万ｈａ，占水域总面积的７６．４％，船体网箱养鱼是近年来在该地区兴起并迅速发展的鱼类集约化养殖方式。本文根据船体网箱养鲤试验结果和有关资料，分析了重庆境内江河水温，含氧量，流速，含沙量，浮渣，工业污染特点及对船体网箱养鱼的影响，拟合了养殖舱内，外流速关系及含沙量与透明度关系，并就船体网箱养鱼的进一步发展提出了措施。     

中国雾霾空间分布特征及影响因素分析

近年来我国雾霾天气频发,以PM_(10)和PM_(2.5)为核心的大气污染物对人体健康和大气环境质量造成了严重威胁,已经成为当前不容忽视且亟需解决的重大民生问题和环境问题,深入分析雾霾污染的形成原因和影响因素对于科学制定切实有效的治霾政策具有重要的现实意义。本文基于我国288个地级以上城市2015年1月—2017年2月的月均空气质量AQI数据,首先采用空间统计方法对雾霾污染空间分布的季节特征进行可视化描述,其次通过空间自相关指数对雾霾污染的空间集聚特征进行了实证检验,最后在此基础上建立空间计量模型对影响雾霾污染的社会经济因素进行了经验识别。结果表明:(1)我国雾霾污染的季节性特征明显,夏季空气质量状况最好,春季和秋季次之,冬季污染最严重且波及范围广,其中河北南部、河南北部、山西南部和陕西关中地区是污染重灾区,季均空气质量均为中度污染以上。(2)雾霾污染存在显著的空间正相关特征,我国东部沿海地区表现为显著的低低集聚,华北平原及周边地区呈现显著的高高集聚特征。(3)空间回归结果显示,我国雾霾污染与经济增长的关系在一定程度上与EKC曲线假说相符,其中二产畸高的产业结构、民用汽车保有量的增多和省会城市均对雾霾污染有显著的正向促进作用,但人口密度和绿化水平对雾霾污染的影响并不显著。因此,治霾政策应坚持城市内部以促进产业结构转型升级、鼓励使用新能源汽车和共享单车、疏散省会城市的职能为主,城市外部应以区域联防联控为主,从而达到缓解和改善大气环境的目的。     

天津市工业行业全要素能源效率变动的影响因素分析

天津市作为一个典型的工业城市,工业行业能源效率水平决定了其能否完成"十二五"期间单位生产总值能耗比"十一五"末下降18%的国家节能降耗考核目标。正确把握影响工业行业能源效率变动的因素是天津市寻求节能降耗途径的关键。本文以1998-2008年天津市工业行业的能源消耗面板数据为样本,通过引入非参数Malmquist生产率指数,从技术进步、纯技术效率和规模效率指数角度分析天津市工业行业全要素能源效率变化情况,并运用Tobit模型估计工业化水平、工业内部结构、技术进步、产权结构、政府影响力、进出口贸易和能源消费结构等要素对工业行业全要素能源效率变化的影响程度。研究表明:1998-2008年期间,天津市工业行业间的能源效率差异显著,整体全要素能源效率不断提高,技术进步是其提高的主要原因,但技术效率表现为负增长;工业化水平、技术进步、进出口贸易和能源消费结构的调整对工业行业能源效率的提升具有不同程度的促进作用,但重工业和国有经济比重的增加及政府对能源市场的干预对能源效率的提升起负向作用。因此,天津市工业行业能源效率的进一步提高,需要大力开发、推广和使用先进技术及设备,加强对外开放力度,降低重工业和国有经济比重,充分发挥市场调节能源配置的优势。     

Urban Energy Efficiency from Cities in China and Policy Implications

Using 1995-2006 panel data for 210 cities, this article firstly measures total factor energy efficiency for Chinese cities with constant return to scale data envelopment analysis model,and then describes the features of regional differences. The results show that the changing trend displays four "reversed U" shapes. A turning point of widening gap occurred among cities in 2000 and there was a certain convergence among four regions. Urban energy efficiency level is unstable. Cities with low efficiency and high energy input will be the focus of energy-saving and reducing emissions. According to Tobit model, resource endowment, temperature, industrial structure, technology level and variety of policy factors should be treated differently in different situations.